Revisiting turbulence small-scale behavior using velocity gradient triple decomposition
Rishita Das, Sharath S. Girimaji

TL;DR
This study revisits turbulence small-scale behavior using a triple decomposition of the velocity-gradient tensor, revealing the dominant role of shear and providing deeper insights into intermittency and flow structures.
Contribution
It introduces a triple decomposition approach to analyze velocity-gradient tensors, offering a more detailed understanding of turbulence small-scale features beyond traditional methods.
Findings
Shear dominates contributions to velocity-gradient magnitude at all Reynolds numbers.
Intermittency in enstrophy is mainly due to shear, not rigid-body rotation.
Triple decomposition enhances understanding of turbulence small-scale dynamics.
Abstract
Turbulence small-scale behavior has been commonly investigated in literature by decomposing the velocity-gradient tensor () into the symmetric strain-rate () and anti-symmetric rotation-rate () tensors. To develop further insight, we revisit some of the key studies using a triple decomposition of the velocity-gradient tensor. The additive triple decomposition formally segregates the contributions of normal-strain-rate (), pure-shear () and rigid-body-rotation-rate (). The decomposition not only highlights the key role of shear, but it also provides a more accurate account of the influence of normal-strain and pure rotation on important small-scale features. First, the local streamline topology and geometry are described in terms of the three constituent tensors in velocity-gradient invariants' space. Using DNS data sets of forced isotropic…
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